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Title: |
US5615307:
Neural network shell for application programs
[ Derwent Title ]

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Country: |
US United States of America

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Inventor: |
Bigus, Joseph P.; Rochester, MN

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Assignee: |
International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
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Published / Filed: |
1997-03-25
/ 1995-06-02

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Application Number: |
US1995000460361

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IPC Code: |
Advanced:
G06N 3/04;
Core:
G06N 3/00;
IPC-7:
G06F 15/18;

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U.S. Class: |
Current:
706/044;
706/060;
Original:
395/026;

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Field of Search: |
395/026,76,21,11,22,23

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Priority Number: |

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Abstract: |
A neural network shell has a defined interface to an application program. By interfacing with the neural network shell, any application program becomes a neural network application program. The neural network shell contains a set of utility programs that transfers data into and out of a neural network data structure. This set of utility programs allows an application program to define a new neural network model, create a neural network data structure, train a neural network, and run a neural network. Once trained, the neural network data structure can be transported to other computer systems or to application programs written in different computing languages running on similar or different computer systems.

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Attorney, Agent or Firm: |
Gamon, Owen J. ;
Rose, Curtis G. ;

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Primary / Asst. Examiners: |
Downs, Robert W.;

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Maintenance Status: |
E3 Expired Check current status

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INPADOC Legal Status: |
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Parent Case: |
This is a divisional of U.S. patent application Ser. No. 08/075,370 filed Jun. 11, 1993, now issued as U.S. Pat. No. 5,450,529, which is a divisional of U.S. patent application Ser. No. 07/849,116 filed on Mar. 10, 1992, now issued as U.S. Pat. No. 5,222,196, which was a divisional of U.S. patent application Ser. No. 07/482,450, filed on Feb. 20, 1990, now issued as U.S. Pat. No. 5,142,665.

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Designated Country: |
CH DE ES FR GB IT LI NL SE

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Family: |
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First Claim:
Show all 12 claims |
What is claimed is:
1. A neural network data structure used to enable an application program to run one of a plurality of neural network models, thereby becoming a neural network, comprising:
- a recordable media;
- a neural network model identification field, recorded on the recordable media, for indicating for which of the plurality of neural network models the neural network data structure is to be used, wherein the neural network data structure is common and generic to all of the plurality of neural network models;
- a status field, recorded on the recordable media, for indicating if said neural network is in an initialize mode, a training mode, and a lock mode;
- a parameter field, recorded on the recordable media, for storing a plurality of parameters specific to said one of a plurality of neural network models; and
- an array field, recorded on the recordable media, for storing a data array specific to said one of a plurality of neural network models.

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Background / Summary: |
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